Flower AI Summit 2026·April 15-16·London
Finance

Finance LLM Leaderboard

Embrace federated LLM fine-tuning on finance tasks and secure your spot on the leaderboard!

In the domain of Finance, developing models that can accurately analyze financial sentiment, predict market trends, and interpret regulatory language is of critical importance.

Federated LLM fine-tuning on finance tasks enables collaboration across institutions while keeping sensitive financial data private and secure.

This approach ensures fine-tuned language models are robust across diverse financial datasets and can generalize to real-world financial analysis tasks.

RankTeamCodeBase ModelComm. CostsAverage (↑)FPBFIQATFNSDate
1ZeroOne.AIQwen2.5-7B30.1 GB84.5885.8983.2284.6314.01.26
2FL-finetune-JB-DCQwen2.5-7B3.8 GB75.5180.6971.0574.7920.04.25
3FL-finetune-JB-DCQwen2.5-7B3.8 GB74.9579.5475.6569.6820.04.25
4Massimo R. ScamarciaSmolLM2-1.7B-Instruct10.7 GB67.9071.3756.5875.7509.02.25
5Nut ChukamphaengQwen2.5-7B1.0 GB65.5268.2360.8567.5016.12.24
6Md Mahinur AlamQwen/Qwen2.5-7B3.8 GB61.5376.8167.7640.0318.08.25
7ZJUDAIMistral-7B-Instruct-v0.32.0 GB61.4558.6367.1158.6304.04.25
8BaselineLlama-3.2-3B68.4 GB54.7867.0832.5764.7009.12.24
9T-IoI@UNRSmolLM2-360M-Instruct1.5 GB52.2252.6466.1137.9314.04.25
10Massimo R. ScamarciaSmolLM2-360M-Instruct3.8 GB45.3641.7569.0825.2503.03.25
11BaselineMistral-7B-v0.3101.6 GB45.2744.5562.5028.7701.10.24
12T-IoI@UNRSmolLM2-360M1.5 GB42.6453.7921.7152.4214.04.25
13T-IoI@UNRSmolLM2-135M0.9 GB36.8129.8659.5321.0614.04.25
14T-IoI@UNRSmolLM2-135M-Instruct0.9 GB36.4828.6359.2121.6014.04.25